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MAPPING CLOSURE APPROXIMATION FOR REACTIVE SCALARS IN RANDOM FLOWS

机译:随机流中反应标量的映射关闭近似

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摘要

The Mapping Closure Approximation (MCA) approach is developed to describe the statistics of both conserved and reactive scalars in random flows. The statistics include Probability Density Function (PDF), Conditional Dissipation Rate (CDR) and Conditional Laplacian (CL). The statistical quantities are calculated using the MCA and compared with the results of the Direct Numerical Simulation (DNS). The results obtained from the MCA are in agreement with those from the DNS. It is shown that the MCA approach can predict the statistics of reactive scalars in random flows.
机译:开发了映射闭合近似(MCA)方法来描述随机流中守恒和反应性标量的统计量。统计信息包括概率密度函数(PDF),条件耗散率(CDR)和条件拉普拉斯算子(CL)。使用MCA计算统计量,并将统计量与直接数值模拟(DNS)的结果进行比较。从MCA获得的结果与从DNS获得的结果一致。结果表明,MCA方法可以预测随机流中反应性标量的统计量。

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